Join our R&D team to build the computational tools that drive drug discovery. As a Bioinformatics Engineer, you will develop scalable software pipelines to process massive genomic datasets and integrate heterogeneous biological data sources into actionable insights.
Develop and maintain automated workflows for Next-Generation Sequencing (NGS) data analysis. Implement machine learning models to predict biological phenomena and drug responses. Optimize high-performance computing (HPC) clusters or cloud-based (AWS/Azure) pipelines for data processing. Work closely with biologists to translate scientific requirements into technical code.
Proficiency in Java or Python (specifically for data science libraries). Experience with bioinformatics tools (e.g., BLAST, GATK) and databases (NCBI, Ensembl). Knowledge of SQL and cloud platforms for biological data analysis. Background in Molecular Biology or Genetics is a massive plus.
Mandatory Skills
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